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python
2 years ago
499 B
3
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import numpy as np import matplotlib.pyplot as plt n = 101 P = np.array([[0, 0.2, 0.5, 0.3], [0.5, 0, 0.5, 0], [0.3, 0.7, 0, 0], [0.1, 0, 0, 0.9]]) x = np.array(np.ones(n, dtype=int)) x[0] = 0 for t in range(0, n - 1): x[t + 1] = np.min(np.where(np.cumsum(P[x[t], :]) > np.random.rand())) x = x + 1 # add 1 to all elements of the vector x plt.plot(np.array(range(0, n)), x, 'o') plt.plot(np.array(range(0, n)), x, '--') plt.show()
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